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CORRESPONDENCE To the editor:
Kozak sequence polymorphism in the platelet GPIb
A recent report1 concluded that a dimorphism in
the Kozak sequence of the glycoprotein (GP) Ib | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Department of Cardiology University of Leicester Clinical Sciences Wing Glenfield Hospital Groby Road Leicester, UK
References
gene is a major determinant of the plasma membrane levels of the platelet GP Ib-IX-V complex. Blood. 94:186-191
Kozak polymorphism may, or may not, be a risk factor for coronary artery disease
Kozak polymorphism between a population of cardiac patients who
had survived myocardial infarction and a control population. We have
previously shown that the polymorphism correlates with glycoprotein
Ib-IX-V complex density on the platelet surface and on the
surfaces of transfected cells expressing the complex. The 5C allele,
which more closely approximates the consensus sequence derived by Kozak
for optimal messenger RNA translation, was associated with
increased receptor levels in a genedosage-dependent manner. The
differences in receptor density between individuals with the different
genotypes was modest, with the C/C homozygotes on average expressing
50% more of the receptor on their platelets than the T/T homozygotes.
Although one would expect that a higher receptor level would yield
platelets that were more adhesive and hence more prone to initiate
thrombosis, the higher receptor levels may also be associated with
higher levels of glycocalicin (the soluble extracellular portion of
GPIb
) in the plasma, which could modulate any increased adhesiveness
of the platelets. Similarly, although gain-of-function mutations of
GPIb
associated with platelet-type von Willebrand disease are
associated with an increased affinity of the receptor for vWI, they
paradoxically cause a bleeding disorder. Nevertheless, it is still
possible, and perhaps even likely, that the 5C allele is associated
with an increased propensity of those carrying the allele to develop
thrombosis. Such an association may not be uncovered in a study such as
the one of Croft et al, for several reasons. First, the study is
retrospective, which precludes the analysis of an at-risk population
for future events. Therefore, analysis has to rely on the
identification of the proper case-controls, which are difficult to
match randomly. A truly matched control population would be matched for
all variables that confer risk for myocardial infarction, which these
controls clearly are not. Note, for example, the differences in the
percentages of smokers and diabetics in the 2 populations. Second, the
study analyzed only survivors of myocardial infarction, which
introduces a survival bias; ie, those with the unfavorable genotypes
may have not survived the hospitalizations. Finally, those at the
greatest risk for myocardial infarction are also likely to be those
with the rarest genotype, the C/C homozygotes. In both the case and
control populations analyzed by Croft et al the frequency of this
genotype was below 2%, with a tendency for a higher frequency in the
case population. Thus, it is more appropriate to analyze risk by
genotype frequency rather than by allele frequency, with rare genotypes
requiring very large populations for analysis.
Departments of Medicine and Molecular and Human GeneticsBaylor College of Medicine and the Veterans Affairs Medical CenterHouston, TX
This work was supported by the Sir Jules Thorn
Charitable Trust.
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